interfaze-ai/diffusion-gemma-asr-small
Automatic Speech Recognition • Updated • 9
Joe Mama
JoeMama123123123
AI & ML interests
None yet
Recent Activity
liked a model about 3 hours ago
interfaze-ai/diffusion-gemma-asr-small upvoted a collection about 9 hours ago
QKVAE models upvoted a collection about 9 hours ago
PRISM datasetsOrganizations
None yet
liked a
model about 3 hours ago
upvoted 9
collections about 9 hours ago
liked a
model about 9 hours ago
upvoted an article about 10 hours ago
Article
"The Child That Surpassed Both Parents Through MRI-Guided Evolutionary Merge"
FINAL-Bench
• • 15 liked 2
models about 10 hours ago
reacted to Quazim0t0's post with 👀 about 10 hours ago
Post
636
Created research language model whose channel-mixing block is not an MLP. It is a differentiable Neighbour-Sensing fungal-colony-growth model: each token is expanded into a colony of hyphal tips that grow in a bounded latent region, sense a shared density field, and steer their own growth — the "MLP" is replaced by a few differentiable steps of colony growth, read back out into the hidden state.
Quazim0t0/Mycel-LM-79M
Also the original SpikeWhale project — the one that sparked all the other SpikeWhale related projects. Every spiking primitive here is hand-written in plain PyTorch: the leaky integrate-and-fire (LIF) neuron dynamics, the fast-sigmoid surrogate gradient, and the backprop-through-time training loop. No snntorch, no spikingjelly, no norse, no bindsnet — the network is a genuine from-scratch SNN.
Quazim0t0/SpikeWhale-SNN-216M
Quazim0t0/Mycel-LM-79M
Also the original SpikeWhale project — the one that sparked all the other SpikeWhale related projects. Every spiking primitive here is hand-written in plain PyTorch: the leaky integrate-and-fire (LIF) neuron dynamics, the fast-sigmoid surrogate gradient, and the backprop-through-time training loop. No snntorch, no spikingjelly, no norse, no bindsnet — the network is a genuine from-scratch SNN.
Quazim0t0/SpikeWhale-SNN-216M
upvoted a collection about 10 hours ago
upvoted a paper about 10 hours ago
liked 2
models about 10 hours ago
reacted to Quazim0t0's post with 🔥 about 10 hours ago
Post
477
Created a causal language model with a non-standard channel-mixing block. It keeps a conventional transformer backbone for token mixing (attention), but replaces the per-layer MLP with a QuazimotoBlock: a bank of coupled phase oscillators (Kuramoto dynamics) arranged in concentric rings, run for a few differentiable Euler steps and read out through [cos θ, sin θ].
Quazim0t0/Positronic-144M
Quazim0t0/Positronic-144M